US11742966B2 - Method and apparatus for determining weak Wi-Fi signal, storage medium and terminal - Google Patents
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- US11742966B2 US11742966B2 US17/854,237 US202217854237A US11742966B2 US 11742966 B2 US11742966 B2 US 11742966B2 US 202217854237 A US202217854237 A US 202217854237A US 11742966 B2 US11742966 B2 US 11742966B2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/20—Monitoring; Testing of receivers
- H04B17/26—Monitoring; Testing of receivers using historical data, averaging values or statistics
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0212—Power saving arrangements in terminal devices managed by the network, e.g. network or access point is master and terminal is slave
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0225—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal
- H04W52/0245—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal according to signal strength
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
- H04W84/12—WLAN [Wireless Local Area Networks]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Definitions
- the present disclosure generally relates to communication technology field, and more particularly, to a method and apparatus for determining a weak Wi-Fi signal, a storage medium and a terminal.
- AGC Automatic Gain Control
- the frame header can be caught simply by energy detection.
- the burst communication systems such as Bluetooth, Wi-Fi (802.11a/b/g/n/ac/ax) systems
- Wi-Fi 802.11a/b/g/n/ac/ax
- a Signal-to-Noise Ratio is small or even negative around the sensitivity, that is, the signal is comparable to or even weaker than noises.
- weak signals when the signal is comparable to or even weaker than the noises, it is difficult to conduct energy detection. If an energy detection threshold is slightly higher, it is probable to occur missed detection; and if the energy detection threshold is slightly lower, it is probable to occur false detection, which also seriously affects operation of the AGC.
- Bus signal at a front end of a frame header is formed by a repetition of ten 0.8 us signals. That is, the frame header signal is repeated periodically with a period of 0.8 us and a repetition time of 10. Therefore, for receiving weak signals, in existing techniques, the frame header is generally detected by obtaining a sliding correlation between front and rear signals.
- Embodiments of the present disclosure may provide a method and apparatus for determining a weak Wi-Fi signal, a storage medium and a terminal, which may effectively reduce power consumption when receiving weak Wi-Fi signals.
- a method for determining a weak Wi-Fi signal including: receiving a to-be-determined signal; performing energy sliding accumulation based on the to-be-determined signal to obtain accumulated values of energy values at a plurality of sampled value moments including a current sampled value comment, wherein each of the energy values is determined based on an amplitude value of the to-be-determined signal at the corresponding sampled value moment; determining a product value of a first preset energy threshold and an energy value at a preset sampled value moment; and determining whether the to-be-determined signal is a weak Wi-Fi signal at least based on comparison between the accumulated value of the energy values at the current sampled value moment and the product value, wherein the first preset energy threshold is greater than or equal to 1.
- a storage medium having computer instructions stored therein is provided, wherein when the computer instructions are executed, the above method is performed.
- a terminal including a memory and a processor
- the memory has computer instructions stored therein, and when the processor executes the computer instructions, the above method is performed.
- FIG. 1 is a structural diagram of an AGC module in existing techniques.
- FIG. 2 is a flow chart of a method for determining a weak Fi signal according to an embodiment.
- FIG. 3 is a flow chart of S 22 as shown in FIG. 2 according to an embodiment.
- FIG. 4 is a flow chart of S 24 as shown in FIG. 2 according to an embodiment.
- FIG. 5 is a structural diagram of an AGC module according to an embodiment.
- FIG. 6 is a structural diagram of an apparatus for determining a weak Wi-Fi signal according to an embodiment.
- FIG. 1 is a structural diagram of an AGC module in existing techniques.
- signals are received through an antenna into an RF front-end to be subjected to low-noise amplification, spectrum shifting, filtering, variable gain amplification and other operations to obtain an analog baseband signal.
- the analog baseband signal is input to an Analog to Digital Converter (ADC) and converted to a digital baseband signal which is then input to a receiver for further processing.
- ADC Analog to Digital Converter
- the digital baseband signal may be input into an energy sliding accumulator to be subjected to energy sliding accumulation to obtain accumulated values of energy values at a plurality of sampled value moments including a current sampled value moment.
- the accumulated value of the energy values is input into a threshold comparator to be compared with a preset energy threshold. If the accumulated value of the energy values is less than or equal to the preset energy threshold, it is determined that the digital baseband signal is relatively weak, possibly a weak signal, and then is input to a correlation detector.
- the digital baseband signal is determined to be a weak signal, and a gain controller is triggered to adjust a gain of RF to complete an AGC function.
- a FIFO may be set before the correlation detector to store two 0.8 us sampled values. In this way, when the correlation detector starts, the consumed 1.6 us sampled value is still stored in the FIFO, and the correlation detector can use a plurality of 0.8 us to confirm whether this small energy is a target signal to prevent false detection.
- the frame header is generally detected by obtaining sliding correlation between front and rear signals, and merely one threshold is set. For cases that the sliding correlation is less than the threshold, it is considered that detection is required, that is, whether there is a signal or not, the AGC needs to perform both energy detection and sliding correlation detection, resulting in excessive power consumption of the AGC module.
- a to-be-determined signal is received, energy sliding accumulation is performed based on the to-be-determined signal to obtain accumulated values of energy values at a plurality of sampled value moments including a current sampled value comment, wherein each of the energy values is determined based on an amplitude value of the to-be-determined signal at the corresponding sampled value moment, a product value of a first preset energy threshold and an energy value at a preset sampled value moment is determined, and whether the to-be-determined signal is a weak Wi-Fi signal is determined at least based on comparison between the accumulated value of the energy values at the current sampled value moment and the product value, wherein the first preset energy threshold is greater than or equal to 1.
- the to-be-determined signal is a weak Wi-Fi signal at least based on comparison between the accumulated value of the energy values at the current sampled value moment and the product value.
- the threshold for comparison it is additionally determined whether energy becomes larger.
- a relevant detector is activated to determine whether it is the target signal, avoiding power consumption in a situation that the energy does not become larger, thereby effectively reducing power consumption.
- FIG. 2 is a flow chart of a method for determining a weak Wi-Fi signal according to an embodiment.
- the method may include S 21 to S 24 .
- energy sliding accumulation is performed based on the to-be-determined signal to obtain accumulated values of energy values at a plurality of sampled value moments including a current sampled value comment, wherein each of the energy values is determined based on an amplitude value of the to-be-determined signal at the corresponding sampled value moment.
- whether the to-be-determined signal is a weak Wi-Fi signal is determined at least based on comparison between the accumulated value of the energy values at the current sampled value moment and the product value.
- the first preset energy threshold is greater than or equal to 1.
- the to-be-determined signal may be an analog baseband signal or a digital baseband signal.
- a signal may be received through an antenna into an RF front-end, and the subjected to operations such as low-noise amplification, spectrum shifting, filtering, and variable gain amplification to obtain the analog baseband signal.
- energy sliding accumulation is performed based on the to-be-determined signal to obtain accumulated values of energy values at a plurality of sampled value moments including a current sampled value comment.
- the energy value is determined according to an amplitude value of the to-be-determined signal at the corresponding sampled value moment.
- the energy value is the amplitude value.
- FIG. 3 is a flow chart of S 22 as shown in FIG. 2 according to an embodiment.
- Said performing energy sliding accumulation based on the to-be-determined signal may include S 31 and S 32 .
- the sliding accumulation is performed on the to-be-determined signal based on a following formula to obtain the to-be-determined signal subjected to the sliding accumulation:
- the first Bus signal at a front end of a frame header is formed by a repetition of ten 0.8 us signals. That is, the frame header signal is repeated periodically with a period of 0.8 us and a repetition time of 10. It could be understood that a sliding adder may add a current 0.8 us digital signal and a previous 0.8 us signal every time a sampled point is slid.
- the to-be-determined signal is an analog baseband signal, an analog-to-digital conversion needs to be performed.
- the method prior to performing the sliding accumulation on the to-be-determined signal, the method further includes S 33 of performing an analog-to-digital conversion on the to-be-determined signal to convert from an analog baseband signal to a digital baseband signal.
- the energy sliding accumulation is performed based on the to-be-determined signal using a following formula to obtain the accumulated values of the energy values at the plurality of sampled value moments including the current sampled value comment:
- the Wi-Fi signal As the first 8 us of the signal frame of the Wi-Fi signal is periodic, it is equivalent to adding two 0.8 us signals.
- the Wi-Fi signal has periodicity, for a signal part, after superimposing and dividing by 2, energy may be enhanced, ideally, by 3 dB, and for a non-signal part, as there is no periodicity, the energy may not be enhanced after summing and averaging.
- the above formula can be used to detect a situation where the energy is significantly enhanced.
- sliding accumulation may be performed to obtain the to-be-determined signal subjected to the sliding accumulation.
- the weak Wi-Fi signal is periodic, the energy is enhanced after signals are superimposed, which helps to improve identification and accuracy of detection of the signals.
- the embodiments of the present disclosure replace the multiplication calculation in the sliding correlation with the addition calculation in the sliding accumulation, thereby improving operation efficiency.
- the value at a following sampled time may be obtained based on the value at a previous sampled time using a simpler calculation method, thereby reducing operation complexity.
- said performing energy sliding accumulation based on the to-be-determined signal to obtain accumulated values of energy values at a plurality of sampled value moments including a current sampled value comment includes: obtaining the accumulated value of the energy values at a lth sampled value moment based on a following formula:
- the result of the sliding adder may be processed based on a following formula:
- the energy may be enhanced when the signal arrives, and the correlation detection is performed only when the energy becomes larger, so as to avoid power consumption when the energy does not become larger, thereby effectively reducing power consumption.
- the product value of the first preset energy threshold and the energy value at a preset sampled value moment is determined, where Th 2 is the first preset energy threshold value, E(j ⁇ T) is the energy value at the preset sampled value moment (j ⁇ T), and T is a preset duration.
- the first preset energy threshold is greater than or equal to 1, so the product value is greater than or equal to the energy value at the preset sampled value moment (j ⁇ T).
- whether the to-be-determined signal is a weak Wi-Fi signal is determined at least based on comparison between the accumulated value of the energy values at the current sampled value moment and the product value.
- FIG. 4 is a flow chart of S 24 as shown in FIG. 2 according to an embodiment.
- Said determining whether the to-be-determined signal is a weak Wi-Fi signal at least based on comparison between the accumulated value of the energy values at the current sampled value moment and the product value may include S 41 and S 42 .
- the accumulated value of the energy values at the sampled value moment may be input into a first threshold comparator to be compared with a second preset energy threshold. If the accumulated value of the energy values at the current sampled value moment is less than or equal to the second preset energy threshold, it is preliminarily considered that the Wi-Fi signal may be a weak signal.
- the threshold of the first threshold comparator may be set as the second preset energy threshold Th 1 , and at any point in time j, if E(j)>Th 1 it can be determined that there is a strong signal coming, and the gain controller is activated to adjust a gain of RF to complete AGC.
- the first threshold comparator can be used to quickly respond to a strong signal and performs energy trigger rapidly and adjusts the gain when the strong signal arrives.
- a threshold of a second threshold comparator is set as the product value Th 2 ⁇ E(j ⁇ T). If failing in passing the first threshold comparator, the second threshold comparator is entered. If E(j)>Th 2 ⁇ E(j ⁇ T), it is determined that the energy at the time point j is significantly larger than that at the time point (j ⁇ T), and thus there is a small energy coming. Accordingly, the correlation detector may be activated to determine whether it is a target signal.
- said detecting whether the to-be-determined signal is a periodically repeated signal includes determining the to-be-determined signal to be the periodically repeated signal based on consecutive 0.8 us signals having same content.
- a correlation detector may be used to determine whether the to-be-determined signal is a periodic repetition signal. In the embodiments of the present disclosure, specific implementation of the correlation detector is not limited.
- the to-be-determined signal is determined to be a weak Wi-Fi signal based on the to-be-determined signal being the periodically repeated signal.
- the to-be-determined signal is determined to be a weak Wi-Fi signal. Therefore, it is possible to identify a strong signal with sufficient energy. As the strong signal can be locked by energy triggering without using energy detection and correlation detection, in the embodiments of the present disclosure, correlation detection is merely performed on weak signals on the basis of identify the strong signal, which effectively reduces power consumption.
- the method prior to said detecting whether the to-be-determined signal is a periodically repeated signal, the method further includes inputting the to-be-determined signal into a FIFO module to store sampled values of a preset number of 0.8 us signals.
- the FIFO may be used to store sampled values for two 0.8 us.
- the correlation detector may use multiple 0.8 us to confirm whether the small energy is the target signal to prevent false detection.
- the to-be-determined signal is a weak Wi-Fi signal at least based on comparison between the accumulated value of the energy values at the current sampled value moment and the product value. Therefore, it is additionally determined whether energy becomes larger. Correlation detection is performed merely when the energy becomes larger, avoiding power consumption in a situation that the energy does not become larger, thereby effectively reducing power consumption.
- the method further includes performing gain control on the weak Wi-Fi signal and inputting the weak Wi-Fi signal subjected to the gain control to an RF module.
- the to-be-determined signal when passing detection at the correlation detector, is determined to be a weak signal, and a gain controller is triggered to adjust a gain of RF to complete an AGC function.
- FIG. 5 is a structural diagram of an AGC module according to an embodiment.
- an analog baseband signal is input to an ADC and converted into a digital baseband signal which may be input to a receiver for processing.
- the digital baseband signal may be input into a sliding adder for sliding addition, and then input into an energy sliding accumulator for energy sliding accumulation, so as to obtain accumulated values of energy values at multiple sampled value moments including a current sampled value moment
- the accumulated value of the energy values may be input into a first threshold comparator to be compared with a second preset energy threshold. If the accumulated value of the energy values is less than or equal to the second preset energy threshold, it is input to a second threshold comparator, and after passing the threshold, it is determined that the digital baseband signal is relatively weak, possibly a weak signal, and thus the digital baseband signal is input into a correlation detector.
- a gain controller When passing detection of the correlation detector, it is determined that it is a weak signal, and a gain controller is triggered to complete an AGC function.
- the to-be-determined signal may be input into the FIFO module to store sampled values of a preset number of 0.8 us signal for direct access by the correlation detector during detection.
- AGC module Principles, specific implementation, and beneficial effects of the AGC module may be referred to the above related descriptions of the method as shown in FIG. 2 to FIG. 4 and are not repeated here.
- FIG. 6 is a structural diagram of an apparatus for determining a weak Wi-Fi signal according to an embodiment.
- the apparatus includes: a receiving circuitry 61 configured to receive a to-be-determined signal; an energy value determining circuitry 62 configured to perform energy sliding accumulation based on the to-be-determined signal to obtain accumulated values of energy values at a plurality of sampled value moments including a current sampled value comment, wherein each of the energy values is determined based on an amplitude value of the to-be-determined signal at the corresponding sampled value moment; a product value determining circuitry 63 configured to determine a product value of a first preset energy threshold and an energy value at a preset sampled value moment; and a weak Wi-Fi signal determining circuitry 64 configured to determine whether the to-be-determined signal is a weak Wi-Fi signal at least based on comparison between the accumulated value of the energy values at the current sampled value moment and the product value, wherein the first preset energy threshold is greater than or equal to 1.
- a storage medium having computer instructions stored therein is provided, wherein when the computer instructions are executed, the above method is performed.
- the storage medium may be a computer readable storage medium and may include a non-volatile or a non-transitory memory, or include an optical disk, a mechanical hard disk, or a solid hard disk.
- the processor may be a Central Processing Unit (CPU), or other general processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, and the like.
- a general processor may be a microprocessor, or the processor may be any conventional processor or the like.
- the memory in the embodiments of the present disclosure may be either volatile memory or nonvolatile memory or may include both volatile and nonvolatile memories.
- the non-volatile memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory.
- the volatile memory may be a Random Access Memory (RAM) which functions as an external cache.
- RAM Static Random Access Memory
- DRAM Dynamic Random Access Memory
- SDRAM Synchronous Dynamic Random Access Memory
- DDR SDRAM Double Data Rate Synchronous Dynamic Random Access Memory
- ESDRAM Enhanced SDRAM
- SLDRAM Synchronous connection to DRAM
- DR-RAM Direct Rambus RAM
- a terminal including a memory and a processor
- the memory has computer instructions stored therein, and when the processor executes the computer instructions, the above method is performed.
- the terminal may include but not limited to a mobile phone, a computer, or a tablet computer.
- a terminal in the embodiments of the present disclosure may refer to various forms of UE, access terminal, user unit, user station, Mobile Station (MS), remote station, remote terminal, mobile equipment, user terminal, terminal equipment, wireless communication equipment, user agent or user device.
- the terminal equipment may further be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with a wireless communication function, a computing device or other processing devices connected to a wireless modems, an in-vehicle device, a wearable device, a terminal equipment in the future 5G network, or a terminal equipment in a future evolved Public Land Mobile Network (PLMN), which is not limited in the embodiments of the present disclosure.
- PLMN Public Land Mobile Network
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Abstract
Description
X(k)=S(k)+S(k−N),
where k=0, 1, −N, X(k) is the to-be-determined signal subjected to the sliding accumulation, N is a multiple of a number of sampled value moments in each cycle of the weak Wi-Fi signal, and S(k) is the to-be-determined signal at a sampled value moment k.
X(k)=S(k)+S(k−16),k=0,−1, . . . ,—15,
where sums of sampled values at k=0, −1, . . . , −15 and sampled values at k=−16, −17, . . . , −31 are obtained, respectively.
X(k+1)=S(k+1)+S(k−15),k=0,−1, . . . ,−15.
where l=0, −1, −N, m=0, −1, −N, X(m) is the to-be-determined signal subjected to sliding accumulation, N is a multiple of a number of sampled value moments in each cycle of the weak Wi-Fi signal, and E(1) is the accumulated value of the energy values at a lth sampled value moment.
and sequentially obtaining the accumulated value of the energy values at remaining sampled value moments from a (l+1)th sampled value moment based on a following formula:
where l=0, −1, −N, m=0, −1, −N, X(m) is the to-be-determined signal subjected to sliding accumulation, N is a multiple of a number of sampled value moments in each cycle of the weak Wi-Fi signal, E(1) is the accumulated value of the energy values at a lth sampled value moment, and E(l+1) is the accumulated value of the energy values at the (1+1)th sampled value moment.
and a processed result is output to a sliding energy accumulator.
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US20220360346A1 (en) | 2022-11-10 |
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